Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
Exercise solutions to "R for Data Science"
Magic potions to clean and transform your data 🧙
Seurat meets tidyverse. The best of both worlds.
A fluent code explorer for R. 🔍
An exploratory data analysis and data visualization project using data from Spotify Web API
Cookbook to provide solutions to common tasks and problems in using Polars with R
List of resources for learning R
Brings SingleCellExperiment objects to the tidyverse
🌏 A project for visualizing and analyzing global earthquakes (M ≥ 2.5, last 30 days) using a single R script that automates data download, cleaning, and plotting. Generates 15 sequential plots covering spatial, temporal, and statistical patterns, including regression analysis of magnitude vs. depth.
Short programming tutorials pertaining to data analysis.
#TidyTuesday is a weekly social data project in R which encourages participants to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem
This repo contains all the cheatsheets that I found Important.
Análisis y visualización de datos con R de historial de actividad en Netflix de una cuenta personal. Visualización de maratones de series más vistas y frecuencia de actividad por días, meses y años
Carpentry-style lesson on how to use R, RStudio together with git & Github to promote Open Science practices.
Add a description, image, and links to the tidyr topic page so that developers can more easily learn about it.
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